On Improved Least Flexibility First Heuristics Superior for Packing and Stock Cutting Problems

2005 ◽  
pp. 70-81 ◽  
Author(s):  
Yu-Liang Wu ◽  
Chi-Kong Chan
Keyword(s):  
Stock Cutting ◽  
Cutting Problems

scholarly journals Logic based Benders' decomposition for orthogonal stock cutting problems

2017 ◽  
Vol 78 ◽  
pp. 290-298 ◽  
Author(s):  
Maxence Delorme ◽  
Manuel Iori ◽  
Silvano Martello
Keyword(s):  
Benders Decomposition ◽  
Stock Cutting ◽  
Cutting Problems

MANUFACTURING OPTIMIZATION USING COUPLED LOT SIZING AND STOCK CUTTING PROBLEMS

2016 ◽  
Author(s):  
Glaucia Maria Bressan ◽  
Giovanna Peral Salvadeo ◽  
Roberto Molina Souza
Keyword(s):  
Lot Sizing ◽  
Manufacturing Optimization ◽  
Stock Cutting ◽  
Cutting Problems

Two-Dimensional Stock Cutting Problems and Solution Methodologies

1983 ◽  
Vol 105 (3) ◽  
pp. 155-160 ◽  
Author(s):  
S. C. Sarin
Keyword(s):  
Optimization Procedure ◽  
Two Dimensional ◽  
Interactive Optimization ◽  
Stock Cutting ◽  
Cutting Problem ◽  
Cutting Problems

In this paper methodologies available in the literature to solve two-dimensional stock cutting problems are reviewed. Several variations of the problem are discussed. An interactive optimization procedure for a general two-dimensional stock cutting problem is introduced.

scholarly journals Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

2021 ◽  
Vol 11 (3) ◽  
pp. 1020
Author(s):  
Mohamadreza Afrasiabi ◽  
Hagen Klippel ◽  
Matthias Roethlin ◽  
Konrad Wegener
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Metal Cutting ◽  
Thermal Modeling ◽  
Orthogonal Cutting ◽  
Detection Algorithm ◽  
Mesh Free ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Boundary Treatments ◽  
Cutting Problems

Smoothed Particle Hydrodynamics (SPH) is a mesh-free numerical method that can simulate metal cutting problems efficiently. The thermal modeling of such processes with SPH, nevertheless, is not straightforward. The difficulty is rooted in the computationally demanding procedures regarding convergence properties and boundary treatments, both known as SPH Grand Challenges. This paper, therefore, intends to rectify these issues in SPH cutting models by proposing two improvements: (1) Implementing a higher-order Laplacian formulation to solve the heat equation more accurately. (2) Introducing a more realistic thermal boundary condition using a robust surface detection algorithm. We employ the proposed framework to simulate an orthogonal cutting process and validate the numerical results against the available experimental measurements.

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